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Record W2898487031 · doi:10.3167/arcs.2018.040113

Violence, Development, and Canada’s New Transnational Jurisprudence

2018· article· en· W2898487031 on OpenAlexaboutno aff
Eliza Guyol-Meinrath Echeverry

Bibliographic record

VenueConflict and Society · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
FundersWorld Bank Group
KeywordsJurisdictionLegislationJurisprudenceHuman rightsPolitical scienceSexual violenceLawBureaucracyCriminologySociology

Abstract

fetched live from OpenAlex

For decades, Canadian-based corporate development projects have been linked to acts of violence in countries all over the world. These acts include sexual violence, destruction of property, community displacement, the use of forced labor, and other forms of violence. While Canada has repeatedly failed to pass legislation holding Canadian-based corporations accountable for human rights abuses committed abroad, Canadian courts are increasingly asserting their jurisdiction over cases of development-related violence. Analyzing two ongoing court cases—Caal v. Hudbay, regarding sexual violence in Guatemala, and Araya v. Nevsun, regarding forced labor in Eritrea— this article examines the potential and limits of law to address the bureaucratic mechanisms and grounded experiences of corporate-development-related violence, and the changing relationship between states, corporations, law, and human rights in the modern global era.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.200
Threshold uncertainty score0.928

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0320.065
Scholarly communication0.0190.006
Open science0.0020.009
Research integrity0.0060.013
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.282
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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